Principles of Computerized Tomographic Imaging (Paperback, New Ed)

Provides a comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging. In addition to the purely mathematical and algorithmic aspects of these algorithms, the book also discusses the artifacts caused by the nature of the various forms of energy sources that can be used for generating the projection data. Kak and Slaney go beyond theory, emphasizing real-world applications and detailing the steps necessary for building a tomographic system. Since the fundamental aspects of tomographic reconstruction algorithms have remained virtually the same since this book was originally published, it is just as useful today as it was in 1987. It explains, among other things, what happens when there is excessive noise in the projection data; when images are formed from insufficient projection data; and when refracting or diffracting energy sources are used for imaging. Anyone interested in these explanations will find a wealth of useful information in this book.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	Classics in Applied Mathematics, 33
Release date:	1987
Authors:	Avinash C. Kak • Malcolm Slaney
Series editors:	Robert O'Malley
Dimensions:	229 x 152 x 17mm (L x W x T)
Format:	Paperback - Trade
Pages:	341
Edition:	New Ed
ISBN-13:	978-0-89871-494-4
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > Tomography Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	0-89871-494-X
Barcode:	9780898714944

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